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Differential D2592 Diff 8686 intern/cycles/kernel/filter/filter_nlm_cpu.h

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intern/cycles/kernel/filter/filter_nlm_cpu.h

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/*
* Copyright 2011-2017 Blender Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#define REFERENCE_NLM
brechtUnsubmitted
Not Done
Inline Actions

This seems to be unused.

brecht: This seems to be unused.
CCL_NAMESPACE_BEGIN
ccl_device_inline void kernel_filter_nlm_calc_difference(int dx, int dy, float ccl_readonly_ptr weightImage, float ccl_readonly_ptr varianceImage, float *differenceImage, int4 rect, int w, int channel_offset, float a, float k_2)
{
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
float diff = 0.0f;
int numChannels = channel_offset? 3 : 1;
for(int c = 0; c < numChannels; c++) {
float cdiff = weightImage[c*channel_offset + y*w+x] - weightImage[c*channel_offset + (y+dy)*w+(x+dx)];
float pvar = varianceImage[c*channel_offset + y*w+x];
float qvar = varianceImage[c*channel_offset + (y+dy)*w+(x+dx)];
diff += (cdiff*cdiff - a*(pvar + min(pvar, qvar))) / (1e-8f + k_2*(pvar+qvar));
}
if(numChannels > 1) {
diff *= 1.0f/numChannels;
}
differenceImage[y*w+x] = diff;
}
}
}
ccl_device_inline void kernel_filter_nlm_blur(float ccl_readonly_ptr differenceImage, float *outImage, int4 rect, int w, int f)
{
#ifdef __KERNEL_SSE3__
int aligned_lowx = (rect.x & ~(3));
int aligned_highx = ((rect.z + 3) & ~(3));
#endif
for(int y = rect.y; y < rect.w; y++) {
const int low = max(rect.y, y-f);
const int high = min(rect.w, y+f+1);
for(int x = rect.x; x < rect.z; x++) {
outImage[y*w+x] = 0.0f;
}
for(int y1 = low; y1 < high; y1++) {
#ifdef __KERNEL_SSE3__
for(int x = aligned_lowx; x < aligned_highx; x+=4) {
_mm_store_ps(outImage + y*w+x, _mm_add_ps(_mm_load_ps(outImage + y*w+x), _mm_load_ps(differenceImage + y1*w+x)));
}
#else
for(int x = rect.x; x < rect.z; x++) {
outImage[y*w+x] += differenceImage[y1*w+x];
}
#endif
}
for(int x = rect.x; x < rect.z; x++) {
outImage[y*w+x] *= 1.0f/(high - low);
}
}
}
ccl_device_inline void kernel_filter_nlm_calc_weight(float ccl_readonly_ptr differenceImage, float *outImage, int4 rect, int w, int f)
{
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
outImage[y*w+x] = 0.0f;
}
}
for(int dx = -f; dx <= f; dx++) {
int pos_dx = max(0, dx);
int neg_dx = min(0, dx);
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x-neg_dx; x < rect.z-pos_dx; x++) {
outImage[y*w+x] += differenceImage[y*w+dx+x];
}
}
}
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
const int low = max(rect.x, x-f);
const int high = min(rect.z, x+f+1);
outImage[y*w+x] = expf(-max(outImage[y*w+x] * (1.0f/(high - low)), 0.0f));
}
}
}
ccl_device_inline void kernel_filter_nlm_update_output(int dx, int dy, float ccl_readonly_ptr differenceImage, float ccl_readonly_ptr image, float *outImage, float *accumImage, int4 rect, int w, int f)
{
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
const int low = max(rect.x, x-f);
const int high = min(rect.z, x+f+1);
float sum = 0.0f;
for(int x1 = low; x1 < high; x1++) {
sum += differenceImage[y*w+x1];
}
float weight = sum * (1.0f/(high - low));
accumImage[y*w+x] += weight;
outImage[y*w+x] += weight*image[(y+dy)*w+(x+dx)];
}
}
}
ccl_device_inline void kernel_filter_nlm_construct_gramian(int dx, int dy,
float ccl_readonly_ptr differenceImage,
float ccl_readonly_ptr buffer,
float *color_pass,
float *variance_pass,
float *transform,
int *rank,
float *XtWX,
float3 *XtWY,
int4 rect,
int4 filter_rect,
int w, int h, int f,
int pass_stride)
{
/* fy and fy are in filter-window-relative coordinates, while x and y are in feature-window-relative coordinates. */
for(int fy = max(0, rect.y-filter_rect.y); fy < min(filter_rect.w, rect.w-filter_rect.y); fy++) {
int y = fy + filter_rect.y;
for(int fx = max(0, rect.x-filter_rect.x); fx < min(filter_rect.z, rect.z-filter_rect.x); fx++) {
int x = fx + filter_rect.x;
const int low = max(rect.x, x-f);
const int high = min(rect.z, x+f+1);
float sum = 0.0f;
for(int x1 = low; x1 < high; x1++) {
sum += differenceImage[y*w+x1];
}
float weight = sum * (1.0f/(high - low));
int storage_ofs = fy*filter_rect.z + fx;
float *l_transform = transform + storage_ofs*DENOISE_FEATURES*DENOISE_FEATURES;
float *l_XtWX = XtWX + storage_ofs*XTWX_SIZE;
float3 *l_XtWY = XtWY + storage_ofs*XTWY_SIZE;
int *l_rank = rank + storage_ofs;
kernel_filter_construct_gramian(x, y, 1,
dx, dy, w, h,
pass_stride,
buffer,
color_pass, variance_pass,
l_transform, l_rank,
weight, l_XtWX, l_XtWY, 0);
}
}
}
ccl_device_inline void kernel_filter_nlm_normalize(float *outImage, float ccl_readonly_ptr accumImage, int4 rect, int w)
{
for(int y = rect.y; y < rect.w; y++) {
for(int x = rect.x; x < rect.z; x++) {
outImage[y*w+x] /= accumImage[y*w+x];
}
}
}
CCL_NAMESPACE_END